import numpy as np
from twisted.python.util import println


def AND(x1, x2):
    w1, w2, theta = 0.5, 0.5, 0.7
    tmp = x1 * w1 + x2 * w2
    if tmp <= theta:
        return 0
    else:
        return 1

def AND_vec(x1, x2):
    x = np.array([x1, x2])
    w = np.array([0.5, 0.5])
    b = -0.7
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1

def NAND(x1, x2):
    x = np.array([x1, x2])
    w = np.array([-0.5, -0.5])
    b = 0.7
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1

def OR(x1, x2):
    x = np.array([x1, x2])
    w = np.array([0.5, 0.5])
    b = -0.2
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1

def XOR(x1, x2):
    s1 = NAND(x1, x2)
    s2 = OR(x1, x2)
    return AND(s1, s2)

if __name__ == '__main__':
    print(AND(0, 0))
    print(AND(0, 1))
    print(AND(1, 0))
    print(AND(1, 1))

    print(AND_vec(0, 0))
    print(AND_vec(0, 1))
    print(AND_vec(1, 0))
    print(AND_vec(1, 1))

    print(NAND(0, 0))
    print(NAND(0, 1))
    print(NAND(1, 0))
    print(NAND(1, 1))

    print(OR(0, 0))
    print(OR(0, 1))
    print(OR(1, 0))
    print(OR(1, 1))

    print(XOR(0, 0))
    print(XOR(0, 1))
    print(XOR(1, 0))
    print(XOR(1, 1))
